# AI agent security & governance

Canonical: https://rangoon.ai/insights/desks/security/

Agent tool permissions, model security, sandboxing, privacy, evaluations, and evidence of execution.

Manually reviewed 2026-10-23. Not a live feed. Brief dates refer to original sources; these are external links, not full Rangoon articles.

## What this desk follows

A policy decision, a human approval, and an executed action are different records. Check which boundary a security tool controls and which paths fall outside it. Vendor demonstrations and lab evaluations can be useful evidence without proving universal protection. The newsroom does not imply Rangoon integrations or endorsements.

- Does the control detect, block, or only report?
- What identity and tool boundary does the example enforce?
- Was the result demonstrated under a test or in a deployed system?

## Selected source briefings

### [OpenAI details stronger frontier-training containment](https://openai.com/index/securing-our-frontier-model-training-environment/)

OpenAI Research · Company announcement · Source published 2026-10-23.

OpenAI describes offline environments and red-teaming for frontier-model training and evaluation.

### [Docker presents BAND collaboration inside agent sandboxes](https://www.docker.com/blog/band-ai-agents-docker-sandboxes/)

Docker Blog · Company announcement · Source published 2026-10-21.

Docker describes a kit connecting sandboxed agents to shared BAND rooms; collaboration and isolation remain separate layers.

### [Google researchers examine contextual agent privacy and security](https://research.google/blog/open-and-emergent-problems-in-agentic-privacy-and-security-a-contextual-angle/)

Google Research · Company research · Source published 2026-10-05.

A research post discusses open privacy and security problems in agent systems and the context needed to evaluate them.

## Sources

### [WIRED AI](https://www.wired.com/tag/artificial-intelligence/)

Editorial reporting. Reporting on AI business, security, science, and societal consequences. Subscription or metered access.

### [Anthropic News](https://www.anthropic.com/news)

Company source. First-party updates on Claude, safeguards, and research programs. Company announcements are not independent reporting.

### [Docker Blog](https://www.docker.com/blog/)

Company source. Container, sandbox, agent, and developer infrastructure updates. A demo or nightly build is not a stable-release claim.

### [NIST AI Resources](https://www.nist.gov/super-intelligence)

Official record. Federal AI standards, evaluation, risk, and measurement resources. A framework is not automatic certification or statutory compliance.

[Editorial standards](https://rangoon.ai/insights/editorial/)

## More information

- [Documentation index](https://rangoon.ai/llms.txt)
- [AI access and policies](https://rangoon.ai/ai/)
- [Source repository](https://github.com/hypler-dev/rangoon)